System and method for managing events

ABSTRACT

A method and apparatus for managing events. A stream of event data for a plurality of events corresponding to an entity is received. A timeline for the plurality of events is generated based on the stream of the event data. A set of event chains is identified based on the timeline, the event data, and a set of policies. A trigger related to an event belonging to an event chain of the set of event chains is detected. A number of effects of the trigger is identified in which the number of effects includes at least one of a number of insights, a number of actions, or a number of opportunities.

CROSS-REFERENCE TO RELATED APPLICATION

This application claims the benefit of, and priority to, under 35 U.S.C.§ 120 as continuation of U.S. patent application Ser. No. 17/217,100,filed Mar. 30, 2021, which is a divisional of and claims the benefit ofpriority under 35 U.S.C. § 121 to U.S. patent application Ser. No.14/802,336, filed Jul. 17, 2015, the entire contents of each of whichare incorporated herein by reference.

BACKGROUND INFORMATION 1. Field

The present disclosure relates generally to digital events and, inparticular, to managing digital events. Still more particularly, thepresent disclosure relates to a method and apparatus for managing theeffects of certain triggers on other digital events in an event chain.

2. Background

An event may be a thing that happens or occurs and may take manydifferent forms. For example, without limitation, an event may be anemployee arriving late, a dentist appointment, a flight, a deposit ofmoney into a checking account, performance of a task, an alert message,the lapse of a timer, or some other type of event.

Oftentimes, the occurrence of an event, which may be referred to as atrigger, has consequences that affect other events. These types oftriggers may cause a chain of effects. For example, changing a time of adentist appointment may mean that a babysitter needs to be rescheduled.A member of a team who arrives late to an event may affect the abilityof other members on that team to perform certain tasks. As anotherexample, when an employee signs up for a project at work, the employeemay then need to obtain a corresponding type of training in order to beable to participate in the project. Further, an information packet forthe project may need to be sent to the employee. In this manner,different types of triggers may have different effects.

With the advent of the Internet age and machines becoming increasinglyintelligent, machines are capable of not only generating events, butalso responding to events. For example, when a refrigerator detects thatthere is no more milk, this detection is recorded as a digital event.This digital event may trigger another digital event, such as thesending of a message to the owner of the refrigerator to get more milk,the generation of an order to have more milk made, or the generation ofan order to have more milk delivered.

Currently, many different types of time management software programs,web applications, and mobile apps are available for tracking events.These types of services are able to store information about events andprovide notifications for events that are about to occur.

However, some of these currently available services are unable to takeinto account the intricacies of chained effects of a trigger, such as anoccurrence of an event or a change to an event. For example, theseservices may be unable to determine how a change to the time or locationof one event may affect multiple other events.

As one specific example, a change to the location of a meeting mayaffect a person's ability to make it to the location of a second meetingon time due to an increased distance between the two locations of thetwo meetings. This delay, in turn, may require that a new meeting bescheduled, which may, in turn, require that meeting cancellation noticesand rescheduling notices be sent out to certain people.

Further, currently available services may be unable to systematicallyshow and link past and future events that are relevant to an entity in amanner that would allow for more effective management of events for theentity. Therefore, it would be desirable to have a method and apparatusthat take into account at least some of the issues discussed above, aswell as other possible issues.

SUMMARY

In one illustrative embodiment, a method is provided for managingevents. A stream of event data for a plurality of events correspondingto an entity is received. A timeline for the plurality of events isgenerated based on the stream of the event data. A set of event chainsis identified based on the timeline, the event data, and a set ofpolicies. A trigger related to an event belonging to an event chain ofthe set of event chains is detected. A number of effects of the triggeris identified in which the number of effects includes at least one of anumber of insights, a number of actions, or a number of opportunities.

In another illustrative embodiment, an apparatus comprises a datastorage and an event manager in communication with the data storage. Thedata storage is for storing information about a plurality of eventscorresponding to an entity. The event manager receives a stream of eventdata for the plurality of events and processes and stores the event datain the data storage. The event manager generates a timeline for theplurality of events based on the stream of the event data and identifiesa set of event chains based on the timeline, the event data, and a setof policies. Further, the event manager detects a trigger related to anevent belonging to an event chain of the set of event chains andidentifies a number of effects of the trigger.

In yet another illustrative embodiment, an event management systemcomprises a data storage, an event manager in communication with thedata storage, and a display system. The data storage is for storinginformation about a plurality of events corresponding to an employerentity. The event manager receives a stream of event data for theplurality of events and processes and stores the event data in the datastorage. The event manager generates a timeline for the plurality ofevents based on the stream of the event data and identifies a set ofevent chains based on the timeline, the event data, and a set ofpolicies. Further, the event manager detects a trigger related to anevent belonging to an event chain of the set of event chains andidentifies a number of effects of the trigger. The display system is fordisplaying a graphical user interface. The event manager displays a setof outputs in the graphical user interface based on the number ofeffects identified.

In another illustrative example, a method is provided for managingevents related to an entity. An asynchronous stream of unprocessed eventdata related to the entity may be received. Event data for a pluralityof events, a timeline corresponding to the plurality of events, and aset of event chains are updated based on processing of the unprocessedevent data. Current state information is identified. A determination ismade as to whether a trigger related to at least one event belonging toan event chain of the set of event chains has occurred based on at leastone of the event data, the timeline, the set of event chains, or thecurrent state information. A number of effects of the trigger areidentified in response to a determination that the trigger has occurred.The number of effects is visually presented to a user in a graphicaluser interface.

In yet another illustrative embodiment, a method is provided formanaging events. An occurrence of a trigger related to an eventbelonging to an event chain may be detected. A chain of effects of thetrigger is identified in response to a determination that the triggerhas occurred. The chain of effects is visually presented to a user in agraphical user interface.

The features and functions can be achieved independently in variousembodiments of the present disclosure or may be combined in yet otherembodiments in which further details can be seen with reference to thefollowing description and drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

The novel features believed characteristic of the illustrativeembodiments are set forth in the appended claims. The illustrativeembodiments, however, as well as a preferred mode of use, furtherobjectives and features thereof, will best be understood by reference tothe following detailed description of an illustrative embodiment of thepresent disclosure when read in conjunction with the accompanyingdrawings, wherein:

FIG. 1 is an illustration of an event management system in the form of ablock diagram in accordance with an illustrative embodiment;

FIG. 2 is an illustration of an event manager, a data storage, and agraphical user interface in greater detail in the form of a blockdiagram in accordance with an illustrative embodiment;

FIG. 3 is an illustration of different types of messages that may begenerated by an event manager in the form of a block diagram inaccordance with an illustrative embodiment;

FIG. 4 is an illustration of a graphical user interface in accordancewith an illustrative embodiment;

FIG. 5 is an illustration of a graphical user interface in accordancewith an illustrative embodiment;

FIG. 6 is an illustration of a process for managing events in the formof a flowchart in accordance with an illustrative embodiment;

FIG. 7 is an illustration of a process for managing events in the formof a flowchart in accordance with an illustrative embodiment;

FIG. 8 is an illustration of a process for displaying a set of outputsin the form of a flowchart in accordance with an illustrativeembodiment;

FIG. 9 is an illustration of a process for managing events in the formof a flowchart in accordance with an illustrative embodiment; and

FIG. 10 is an illustration of a data processing system in the form of ablock diagram in accordance with an illustrative embodiment.

DETAILED DESCRIPTION

The illustrative embodiments recognize and take into account differentconsiderations. For example, the illustrative embodiments recognize andtake into account that it may be desirable to have a system and methodcapable of managing events and the effects of certain triggers on achain of linked events.

As events occur, it may be desirable to have a system and method capableof generating insights, suggesting potential actions or identifyingpotential opportunities for an entity. An entity may be an individual, amachine, or an organization. Based on past events, machine learningmechanism may be put in place to identify potential patterns. Forexample, as events occur, multiple potential patterns may emerge andmultiple hypotheses will be tested against actual events. Based ontesting, the most likely hypothesis will be selected as the pattern forgenerating insights, suggesting potential actions, or identifyingpotential opportunities.

The multiple hypotheses will continue to be updated and tested based onactual data. When appropriate, user input may be necessary to select thebest pattern. In such case, multiple potential patterns will bepresented to the user to select the best one.

Having past and future events displayed along a timeline or on acalendar may be an effective way in communicating a coherent linkage onthe past and future events, allowing the user to gain additional insightbased on the observation. Particularly, when using a filter, a past andfuture events timeline or calendar can help a user to zero in onparticular chains of events or events in a particular subject.

Referring now to the figures and, in particular, with reference to FIG.1 , an illustration of an event management system is depicted in theform of a block diagram in accordance with an illustrative embodiment.Event management system 100 may be used to manage plurality of events102. Plurality of events 102 may relate to entity 104.

In some illustrative examples, entity 104 may be a single, indivisibleentity. In other illustrative examples, entity 104 may be comprised ofplurality of sub-entities 106. For example, without limitation, entity104 may take the form of person 108, organization 110, or some othertype of entity. Organization 110 may take the form of a company, acorporation, a governmental agency, a group of people, a club, anathletic team, an educational institution, or some other type of entity.

As depicted, event management system 100 includes data storage 112,event manager 114, and user interface 116. Data storage 112 may beimplemented in the form of hardware, firmware, software, or acombination thereof. In one illustrative example, data storage 112includes number of databases 118. As used herein, a “number of” itemsmay include one or more items. In this manner, number of databases 118may include one or more databases.

In other illustrative examples, data storage 112 may take the form of aserver system comprising one or more servers. In still otherillustrative examples, data storage 112 may take the form of associativememory.

Event manager 114 may be in communication with data storage 112. Eventmanager 114 may be implemented using software, hardware, firmware, or acombination thereof. When software is used, the operations performed byevent manager 114 may be implemented using, for example, withoutlimitation, program code configured to run on a processor unit. Whenfirmware is used, the operations performed by event manager 114 may beimplemented using, for example, without limitation, program code anddata and stored in persistent memory to run on a processor unit.

When hardware is employed, the hardware may include one or more circuitsthat operate to perform the operations performed by event manager 114.Depending on the implementation, the hardware may take the form of acircuit system, an integrated circuit, an application specificintegrated circuit (ASIC), a programmable logic device, or some othersuitable type of hardware device configured to perform any number ofoperations.

A programmable logic device may be configured to perform certainoperations. The device may be permanently configured to perform theseoperations or may be reconfigurable. A programmable logic device maytake the form of, for example, without limitation, a programmable logicarray, a programmable array logic, a field programmable logic array, afield programmable gate array, or some other type of programmablehardware device.

In one illustrative example, event manager 114 may be implemented usingcomputer system 120. Depending on the implementation, data storage 112may be implemented as part of or separate from computer system 120.

User interface 116 may be in communication with event manager 114. Insome cases, user interface 116 may also be in communication with datastorage 112. User interface 116 may enable a user, such as user 117, tointeract with event manager 114. Further, user interface 116 may enableevent manager 114 to present information to user 117.

In one illustrative example, user interface 116 takes the form ofgraphical user interface 122. Graphical user interface 122 may beconfigured for display on display system 124. Display system 124 mayinclude one or more display devices. In some illustrative examples,display system 124 may take the form of a touch screen.

Depending on the implementation, display system 124 may be implementedas part of or separate form computer system 120. In one illustrativeexample, display system 124 may be implemented as part of user device126. User device 126 may take the form of, for example, withoutlimitation, a desktop computer, a laptop, a tablet, a laptop-tablethybrid, a notebook, an ultra-book, a smartphone, or some other type ofdevice. In other illustrative examples, display system 124 may includemultiple display devices on multiple user devices, each of which may beused for displaying a different graphical user interface.

Data storage 112, event manager 114, user device 126, or somecombination thereof may be connected to network 128. Network 128 may bea communications network that takes the form of, for example, withoutlimitation, a wireless network. In one illustrative example, network 128may include the Internet.

Data storage 112 is used to store information 130 related to pluralityof events 102. Information 130 may include, for example, withoutlimitation, event data 134 for each of plurality of events 102. Eventdata 134 may be received from one or more sources. Event data 134 for anevent, such as event 135, may be received from, for example, withoutlimitation, user input received through user interface 116 from userdevice 126, data retrieved from one or more servers, data mined from anumber of resources, other types of sources, or some combinationthereof.

Information 130 also includes timeline 136 for plurality of events 102.Timeline 136 may be generated by event manager 114 using event data 134.Timeline 136 may be a chronological organization of plurality of events102. Timeline 136 may take the form of dynamic timeline 138 becausetimeline 136 may change as new event data is received, processed byevent manager 114, and stored in data storage 112.

In some illustrative examples, timeline 136 may include a plurality ofsub-timelines for a plurality of categories of events. In other words,each of the plurality of sub-timelines may be for events in plurality ofevents 102 that fall within a particular category.

In one illustrative example, event manager 114 identifies timeinformation that includes at least one of a date or a time for each ofplurality of events 102 based on event data 134. Event manager 114 mayorganize the time information to establish timeline 136, which may beupdatable over time as new event data is received.

Event manager 114 uses event data 134 for plurality of events 102,timeline 136, and set of policies 140 to identify set of event chains141. Each event chain in set of event chains 141 may comprise eventsthat are linked by some type of cause-and-effect relationship. Eachpolicy in set of policies 140 may include at least one of rules,algorithms, processes, parameters, instructions, or some other type ofinformation that may be used to identify set of event chains 141.

As used herein, the phrase “at least one of,” when used with a list ofitems, means different combinations of one or more of the listed itemsmay be used and only one of the items in the list may be needed. Theitem may be a particular object, thing, step, operation, process, orcategory. In other words, “at least one of” means any combination ofitems or number of items may be used from the list, but not all of theitems in the list may be required.

For example, without limitation, “at least one of item A, item B, oritem C” or “at least one of item A, item B, and item C” may mean item A;item A and item B; item B; item A, item B, and item C; or item B anditem C. In some cases, “at least one of item A, item B, or item C” or“at least one of item A, item B, and item C” may mean, but is notlimited to, two of item A, one of item B, and ten of item C; four ofitem B and seven of item C; or some other suitable combination.

In one illustrative example, event data 134 for plurality of events 102,timeline 136, and set of policies 140 may be used to perform at leastone of data mining 142, pattern recognition 144, event relationshipidentification 146, or inferential processing 147.

As event data 134 and other types of information are received by eventmanager 114, event manager 114 monitors for an occurrence of trigger 150that is related to an event belonging to one of set of event chains 141.Trigger 150 may take a number of different forms. For example, withoutlimitation, trigger 150 may comprise at least one of an occurrence of anevent, a change to the event data for an event, receiving certain userinput, a lapse of a timer, a change in a current location of user device126, the current data reaching a preselected date, the current timereaching a preselected time, or some other type of trigger.

In response to event manager 114 detecting trigger 150, event manager114 then identifies number of effects 152 of trigger 150. An example ofone manner in which number of effects 152 may be identified is describedin greater detail in FIG. 2 below.

With reference now to FIG. 2 , an illustration of event manager 114,data storage 112, and graphical user interface 122 from FIG. 1 isdepicted in greater detail in the form of a block diagram in accordancewith an illustrative embodiment. In this illustrative example, eventmanager 114 receives stream 200 of unprocessed event data 201.

Stream 200 may be comprised of a series of data signals that arereceived at event manager 114 continuously, periodically, or in someother manner. In this illustrative example, stream 200 takes the form ofasynchronous stream 202 of unprocessed event data 201.

Event manager 114 processes stream 200 of unprocessed event data 201 togenerate event data 134 and timeline 136 that are then stored in datastorage 112. Event data 134, timeline 136, and set of policies 140 maythen be used to identify set of event chains 141. In one illustrativeexample, set of policies 140 may also be stored in data storage 112.

Event chain 204 is an example of one of set of event chains 141. Asdepicted, event chain 204 includes plurality of linked events 206. Eachevent in plurality of linked events 206 may be linked to at least oneother event in plurality of linked events 206 by some type ofrelationship. In one illustrative example, this relationship may be acause-and-effect relationship. For example, an occurrence of or changeto one event may cause an effect related to another event.

Plurality of linked events 206 may be chronologically organized withinevent chain 204. This organization may be a sequential-typeorganization, a series-type organization, a tree-like organization, orsome other type of organization.

Event 135 from FIG. 1 may be an example of one of plurality of linkedevents 206. Event 135 may have context 208. Context 208 includes set ofdynamic data elements 210, set of static data elements 212, or both. Adynamic data element, such as one of set of dynamic data elements 210,may be a piece of data associated with event 135 that can be changedover time and changed any number of times without changing the overallcontext 208 of event 135. For example, when event 135 is a doctor'sappointment, a dynamic data element may be the time of the appointment,the location of the appointment, or the doctor.

Conversely, a static data element, such as one of set of static dataelements 212, may not be changed without changing the overall context208 of event 135. For example, when event 135 is an employee arrivaltime at work, a static data element may be the name of the employee.

Plurality of linked events 206 may also include number of upstreamevents 214, number of downstream events 216, or both. Number of upstreamevents 214 includes one or more events that are earlier in time withrespect to event 135. Number of downstream events 216 includes one ormore events that are later in time with respect to event 135. Number ofdownstream events 216 may branch out from event 135 in tree-like form ormay link to event 135 in the form of a line-series, depending on theimplementation.

In some illustrative examples, event manager 114 may perform knowledgeextraction 218 to generate event data 134, timeline 136, metadata 220,or a combination thereof. Metadata 220 may include, for example, withoutlimitation, data about entity 104 in FIG. 1 , timestamp data, dateinformation, subject matter data, location data, or some combinationthereof.

In one illustrative example, information 130 that includes event data134, timeline 136, and metadata 220 may be stored in the form of datalake 222. Data lake 222 may be a multi-dimensional semantic networkderived from event data 134, timeline 136, and metadata 220.

When event manager 114 detects trigger 150, event manager 114 may usedata lake 222 and current state information 224 to identify number ofeffects 152 of trigger 150. Current state information 224 may include,for example, without limitation, at least one of current time 225,current location 226, or some other type of information about thecurrent state with respect to event manager 114 or user device 126 inFIG. 1 .

As depicted, number of effects 152 may include at least one of number ofinsights 227, number of actions 228, number of opportunities 230. Aninsight, such as one of number of insights 227, may be an observation,an inference, or some other type of piece of knowledge or wisdom basedon trigger 150. As one illustrative example, trigger 150 may be anemployee signing up to participate in a project at work. A correspondinginsight for trigger 150 may be the observation that a total of tenpeople have now signed up for this project.

An action, such as one of number of actions 228 may be an operation ortask that is performed in response to trigger 150. As one illustrativeexample, when trigger 150 is an employee signing up to participate in aproject at work, a corresponding action for this trigger 150 may be theautomatic sending of an email containing an information packetattachment detailing the project to the employee.

An opportunity, such as one of number of opportunities 230, may be anopportunity for user 117 to perform some task. As one illustrativeexample, when trigger 150 is an employee signing up to participate in aproject at work, a corresponding opportunity may be the opportunity forthe employee to optionally sign up for a certification training relatedto the project.

In some cases, once number of effects 152 of trigger 150 has beenidentified, event manager 114 may create effect ranking 232 for numberof effects 152. Effect ranking 232 may be a ranking based on at leastone of a date and time associated with each effect, a person or entityassociated with each effect, priorities selected by user 117, or someother type of factor.

In one illustrative example, when number of effects 152 includesmultiple effects, two or more of these effects may form a chain ofeffects. For example, without limitation, an insight that is identifiedbased on trigger 150 may, in turn, trigger an opportunity or an action.In some cases, an action that is performed in response to the occurrenceof trigger 150 may, in turn, trigger multiple opportunities, multipleinsights, or both. In this manner, event manager 114 may be capable ofidentifying a chain of effects that stem from trigger 150. This chain ofeffects may take the form of a linear-type chain of effects or atree-type chain of effects.

After identifying number of effects 152 for trigger 150, event manager114 may generate set of outputs 234 for communicating at least one ofnumber of effects 152 to user 117. Set of outputs 234 may be sent to andoutput through user interface 116.

In one illustrative example, set of outputs 234 takes the form of set ofmessages 236. Set of messages 236 may be visually presented to user 117through graphical user interface 122. As depicted, set of messages 236may include trigger message 238 and set of effect messages 240. Triggermessage 238 may be a message about trigger 150. For example, withoutlimitation, trigger message 238 may simply be a notification thattrigger 150 was detected or that trigger 150 has occurred. Set of effectmessages 240 may include a message corresponding to at least one ofnumber of effects 152.

In some illustrative examples, event manager 114 may also display numberof graphical indicators 242, number of graphical controls 244, or bothin graphical user interface 122. In one illustrative example, number ofgraphical indicators 242, number of graphical controls 244, or both maybe associated with set of messages 236.

For example, a graphical indicator may take the form of a label of aselected color, a graphical symbol, highlighted text, or some other typeof graphical indicator within one of set of messages 236. A graphicalcontrol may take the form of, for example, without limitation, a button,a checkbox, or some other type of graphical control within a message. Asone illustrative example, a message corresponding to an opportunity ofnumber of opportunities 230 may include a button asking user 117 to takethe opportunity.

With reference now to FIG. 3 , an illustration of different types ofmessages that may be generated by event manager 114 from FIGS. 1-2 isdepicted in the form of a block diagram in accordance with anillustrative embodiment. Event 300 may be an example of one type oftrigger 150 from FIG. 1 .

As depicted, event 300 may be late arrival 302 of employee 304. Inresponse to detecting the occurrence of event 300, event manager 114uses information 130 and, in some cases, current state information 224,to identify number of effects 306.

Event manager 114 may then generate set of messages 308 based on numberof effects 306. Event manager 114 displays set of messages 308 ondisplay device 310 of user device 126. Display device 310 may be anexample of one implementation for display system 124 in FIG. 1 . Userdevice 126, in this illustrative example, belongs to manager 312.

Set of messages 308 include message 314, message 316, message 318,message 320, and message 322. Message 314 may be an example of triggermessage 238 in FIG. 2 . Message 314 identifies the trigger as latearrival 302 of employee 304.

Each of message 316, message 318, message 320, and message 322 is anexample of one of set of effect messages 240 in FIG. 2 . Message 316communicates an insight to manager 312 generated by event manager 114based on late arrival 302 of employee 304. This insight may be anexample of one of number of insights 227 in FIG. 2 . In thisillustrative example, the insight is the observation that late arrival302 is the second late arrival of employee 304.

Message 318 communicates another insight to manager 312 generated byevent manager 114 based on late arrival 302 of employee 304. Thisinsight, which may be another example of one of number of insights 227in FIG. 2 , is an observation that late arrival 302 of employee 304makes a total of three team members that arrived late this month.

Message 320 communicates an action to manager 312 that has been takenbased on late arrival 302 of employee 304. This action is an example ofone of number of actions 228 in FIG. 2 . In this illustrative example,the action taken is the flagging of a timeliness status for employee304.

Further, message 322 communicates an opportunity to manager 312recognized by event manager 114 based on late arrival 302 of employee304. This opportunity may be an example of one of number ofopportunities 230 in FIG. 2 . In this illustrative example, theopportunity is a chance for manager 312 to send a written notice toemployee 304. As depicted, button 324 is associated with message 322.Button 324 may be an example of one implementation for one of number ofgraphical controls 244 in FIG. 2 . Button 324 enables manager 312 totake advantage of the opportunity presented. In this manner, number ofeffects 306 of a trigger, such as trigger 150 in FIGS. 1-2 , may becommunicated to a user, such as user 117 in FIGS. 1-2 , in a number ofdifferent ways.

The illustrations in FIGS. 1-3 are not meant to imply physical orarchitectural limitations to the manner in which an illustrativeembodiment may be implemented. Other components in addition to or inplace of the ones illustrated may be used. Some components may beoptional. Also, the blocks are presented to illustrate some functionalcomponents. One or more of these blocks may be combined, divided, orcombined and divided into different blocks when implemented in anillustrative embodiment.

With reference now to FIG. 4 , an illustration of a graphical userinterface is depicted in accordance with an illustrative embodiment. Inthis illustrative example, graphical user interface 400 may be anexample of one type of graphical user interface that may be displayedon, for example, without limitation, a smartphone, a tablet, a laptop,or some other type of data processing system.

Further, graphical user interface 400 may be an example of oneimplementation for graphical user interface 122 in FIG. 1 . Graphicaluser interface 400 may be controlled by an event manager, such as eventmanager 114 in FIG. 1 .

As depicted, timeline 402 is displayed in graphical user interface 400.Timeline 402 includes plurality of items 404. Each item of plurality ofitems 404 may include a visual presentation of at least one of an event,an insight, an action, an opportunity, or another type of effect.

For example, plurality of items 404 includes items 406, 408, 410, 412,and 414. Item 406 includes trigger message 416 and images 418 displayedin association with trigger message 416. Trigger message 416 identifiesthat a meeting is scheduled to occur later in the day. This meeting maybe an example of one implementation for event 135 in FIGS. 1 and 2 .

The event manager may be preconfigured to detect when the meeting isscheduled to occur one hour before a current time. This detection may beconsidered a trigger. In response to this trigger, the event managergenerates and displays trigger message 416. Further, the event manageridentifies an effect based on this trigger. This effect may be an actionto display the people who are scheduled to attend the meeting ingraphical user interface 400. Images 418 identify these people.

In this illustrative example, opportunity message 420 and insightmessage 422 are displayed as item 408. Insight message 422 andopportunity message 420 may be an example of one implementation for setof effect messages 240 in FIG. 2 . These messages may be generated basedon the detection of a trigger. For example, the current date and timetogether with an account balance being below a selected value may bedetected as a trigger. The event manager may use information about theaccount, the current date and time, and past spending history togenerate insight message 422, identifying an insight based on thistrigger. This insight may be that the balance of that account will reachzero in 31 days.

Opportunity message 420 is generated based on the insight identified byinsight message 422. In this manner, the insight identified by insightmessage 422 and the opportunity identified by opportunity message 420form a chain of effects. Opportunity message 420 is displayed ingraphical user interface 400 to present the opportunity to a user forthe user to take action based on the insight identified by insightmessage 422.

As depicted, item 410 includes insight message 424 and trigger message426. Trigger message 426 identifies an event, which, in thisillustrative example, is a deposit of money into an account. The eventmanager may detect this deposit as a trigger and may identify an insightcorresponding to the deposit. The insight may be based on, for example,information about the source of the money deposited, the amountdeposited, the deposit date, or some combination thereof. Insightmessage 424 identifies this insight.

Item 412 includes insight message 428, insight message 430, andopportunity control 432. In this example, the current date and time maybe a triggering event. Based on this triggering event, the event manageridentifies two insights, which may be that it is time to submit atimesheet and a total hours worked to date. Insight message 428 andinsight message 430 identify these two insights, respectively.

Further, the event manager identifies an opportunity based on the twoinsights. The opportunity may be the option to submit a timesheet.Opportunity control 432 is a graphical control that presents thisopportunity to the user.

Item 414 includes trigger message 434 and opportunity message 436.Tigger message 434 identifies a triggering event, which is the receivingof a request for a meeting. Opportunity message 436 identifies anopportunity identified by the event manager based on the detection ofthe trigger. This opportunity may be the option to schedule the meetingfor a particular date and time. Graphical control 438, graphical control440, and graphical control 442 are displayed to present options for theuser to accept the opportunity, deny the opportunity, or view moreoptions regarding the opportunity, respectively.

With reference now to FIG. 5 , an illustration of a graphical userinterface is depicted in accordance with an illustrative embodiment. Inthis illustrative example, graphical user interface 500 may be anexample of one type of graphical user interface that may be displayedon, for example, without limitation, a smartphone, a tablet, a laptop,or some other type of data processing system.

Further, graphical user interface 500 may be an example of oneimplementation for graphical user interface 122 in FIG. 1 . Graphicaluser interface 500 may be controlled by an event manager, such as eventmanager 114 in FIG. 1 .

As depicted, timeline 502 is displayed in graphical user interface 500.Timeline 502 includes plurality of items 504. Each item of plurality ofitems 504 may include a visual presentation of at least one of an event,an insight, an action, an opportunity, or another type of effect.

As depicted, item 506 includes trigger message 512 and opportunitycontrol 514. Trigger message 512 identifies a trigger that has beendetected, which is that the user has punched into an employee time clocksystem. Opportunity control 514 presents an opportunity for the user toview a total hours worked by the user that week.

Item 508 includes trigger message 516 and opportunity control 518.Trigger message 516 identifies a trigger that has been detected, whichis that a savings account balance of the user has changed. Opportunitycontrol 518 presents an opportunity for the user to view this accountbalance.

Item 510 includes trigger message 520, insight message 522, and image524. Trigger message 520 identifies a trigger that has been detected,which is late arrival of an employee. Insight message 522 identifies aninsight that has been identified base on this trigger, which is thatthis employee now has four late arrivals in a row. Image 524 identifiesthe employee.

In this manner, triggering events and insights may be displayed andpresented to a user on a graphical user interface in a number ofdifferent ways. Any number of images, graphical indicators, graphicalcontrols, or combination thereof may also be displayed on the graphicaluser interface.

With reference now to FIG. 6 , an illustration of a process for managingevents is depicted in the form of a flowchart in accordance with anillustrative embodiment. The process illustrated in FIG. 6 may beimplemented using event management system 100 in FIG. 1 .

The process begins by receiving a stream of event data for a pluralityof events corresponding to an entity (operation 600). A timeline isgenerated for the plurality of events based on the stream of the eventdata (operation 602). A set of event chains is then identified based onthe timeline, the event data, and a set of policies (operation 604).

Thereafter, a trigger related to an event belonging to an event chain ofthe set of event chains may be detected (operation 606). A number ofeffects of the trigger may then be identified in which the number ofeffects includes at least one of a number of insights, a number ofactions, or a number of opportunities (operation 608). A set of outputsbased on the number of effects may then be visually presented to a user(operation 610), with the process terminating thereafter.

With reference now to FIG. 7 , an illustration of a process for managingevents is depicted in the form of a flowchart in accordance with anillustrative embodiment. The process illustrated in FIG. 7 may beimplemented using event management system 100 in FIG. 1 .

The process begins by waiting to receive event data for an eventcorresponding to an entity over time (operation 700). A number of eventchains are updated based on the event data for the event (operation702). In operation 702, the event may be linked to one or more otherevents in one or more event chains.

Next, time information that includes at least one of a date or a timefor the event is identified based on the event data (operation 704). Atimeline is updated using the time information (operation 706).

Thereafter, a determination is made as to whether a trigger has occurred(operation 708). In operation 708, this determination may be made basedon the event data, the updated timeline, and current state information.The current state information may include, for example, at least one ofa current time, a current location, or some other type of currentinformation. If a trigger has not occurred, the process returns tooperation 700 as described above.

However, if the trigger has occurred, a number of effects of the triggermay then be identified in which the number of effects includes at leastone of a number of insights, a number of actions, or a number ofopportunities (operation 710). A set of outputs based on the number ofeffects may then be visually presented to a user (operation 712), withthe process then returning to operation 700 described above.

With reference now to FIG. 8 , an illustration of a process fordisplaying a set of outputs is depicted in the form of a flowchart inaccordance with an illustrative embodiment. The process illustrated inFIG. 8 may be implemented using event management system 100 in FIG. 1 .In particular, this process may be an example of one manner in whichoperation 712 in FIG. 7 may be implemented.

A trigger message identifying a trigger that has occurred is generated(operation 800). In operation 800, the trigger may be, for example,without limitation, a trigger detected in operation 708 in FIG. 7 .Next, an effect is selected from a number of effects identified based onthe trigger (operation 802). In operation 802, the number of effects maybe, for example, the number of effects identified in operation 710 inFIG. 7 .

Next, an effect message identifying the selected effect is generated(operation 804). Thereafter, a determination is made as to whether anyother unprocessed effects remain (operation 806). If any unprocessedeffects remain, the process returns to operation 802 described above.

Otherwise, if no unprocessed effects remain, then a number of effectmessages have been generated for the number of effects. The triggermessage, the number of effect messages corresponding to the number ofeffects and, in some cases, at least one of a graphical indicator, agraphical control, or some other type of graphical element, aredisplayed in association with each other in a graphical user interface(operation 808), with the process terminating thereafter.

With reference now to FIG. 9 , an illustration of a process for managingevents is depicted in the form of a flowchart in accordance with anillustrative embodiment. The process illustrated in FIG. 9 may beimplemented using event management system 100 in FIG. 1 .

The process begins by receiving an asynchronous stream of event data fora plurality of events corresponding to an entity (operation 900). Inoperation 900, the entity may be a business entity. The plurality ofevents may include, for example, without limitation, employee-relatedevents and employer-related events.

As operation 900 is performed over time, event data for a selected eventof the plurality of events is selected for processing (operation 902). Anumber of event chains are updated based on the event data for theselected event (operation 904).

Next, time information that includes at least one of a date or a timefor the event is identified based on the event data (operation 906). Atimeline is updated using the time information (operation 908).

Thereafter, a determination is made as to whether a trigger has occurred(operation 910). In operation 910, this determination may be made basedon the event data, the updated timeline, and current state information.If a trigger has not occurred, the process returns to operation 902 asdescribed above.

However, if the trigger has occurred, a number of effects of the triggermay then be identified in which the number of effects includes at leastone of a number of insights, a number of actions, or a number ofopportunities (operation 912). In operation 912, at least one of patternrecognition, reinforcement learning, machine learning, user input, orsome other type of process may be used to identify the number ofeffects. As one illustrative example, the user input may comprise aselection of a number of best patterns from multiple potential patternsfor use in identifying the number of effects.

A trigger message identifying the trigger is displayed in a graphicaluser interface in association with a number of effect messages thatvisually present the number of effects identified to a user (operation914), with the process then returning to operation 902 as describedabove. In some cases, in operation 914, a number of graphicalindicators, a number of graphical controls, or both may be displayed inassociation with the number of effect messages. In one illustrativeexample, in operation 914, the trigger message and the number of effectmessages may be displayed in association with a graphical timeline inthe graphical user interface.

In one illustrative example, the graphical timeline may be displayedindependently or as part of a digital calendar. Text, messages,graphical elements, or some combination thereof representing past andfuture events may be displayed along the graphical timeline. The triggermessage and the number of effect messages may be displayed at a positionalong the graphical timeline that may allow the user to gain additionalinsight based on viewing the graphical timeline. Particularly, viewingthe trigger message and the number of effect messages positioned alongthe graphical timeline with respect to past and future events alsoidentified along the graphical timeline may enable a user to zero in ona particular chain of events or chain of effects of a trigger. A filtermay also be used to help the user further zero in on a particular chainof events or chain of effects of a trigger related to a particularsubject.

The flowcharts and block diagrams in the different depicted embodimentsillustrate the architecture, functionality, and operation of somepossible implementations of apparatuses and methods in an illustrativeembodiment. In this regard, each block in the flowcharts or blockdiagrams may represent a module, a segment, a function, and/or a portionof an operation or step.

In some alternative implementations of an illustrative embodiment, thefunction or functions noted in the blocks may occur out of the ordernoted in the figures. For example, in some cases, two blocks shown insuccession may be executed substantially concurrently, or the blocks maysometimes be performed in the reverse order, depending upon thefunctionality involved. Also, other blocks may be added in addition tothe illustrated blocks in a flowchart or block diagram.

Turning now to FIG. 10 , an illustration of a data processing system inthe form of a block diagram is depicted in accordance with anillustrative embodiment. Data processing system 1000 may be used toimplement computer system 120 in FIG. 1 . As depicted, data processingsystem 1000 includes communications framework 1002, which providescommunications between processor unit 1004, storage devices 1006,communications unit 1008, input/output unit 1010, and display 1012. Insome cases, communications framework 1002 may be implemented as a bussystem.

Processor unit 1004 is configured to execute instructions for softwareto perform a number of operations. Processor unit 1004 may comprise anumber of processors, a multi-processor core, and/or some other type ofprocessor, depending on the implementation. In some cases, processorunit 1004 may take the form of a hardware unit, such as a circuitsystem, an application specific integrated circuit (ASIC), aprogrammable logic device, or some other suitable type of hardware unit.

Instructions for the operating system, applications, and/or programs runby processor unit 1004 may be located in storage devices 1006. Storagedevices 1006 may be in communication with processor unit 1004 throughcommunications framework 1002. As used herein, a storage device, alsoreferred to as a computer readable storage device, is any piece ofhardware capable of storing information on a temporary and/or permanentbasis. This information may include, but is not limited to, data,program code, and/or other information.

Memory 1014 and persistent storage 1016 are examples of storage devices1006. Memory 1014 may take the form of, for example, a random accessmemory or some type of volatile or non-volatile storage device.Persistent storage 1016 may comprise any number of components ordevices. For example, persistent storage 1016 may comprise a hard drive,a flash memory, a rewritable optical disk, a rewritable magnetic tape,or some combination of the above. The media used by persistent storage1016 may or may not be removable.

Communications unit 1008 allows data processing system 1000 tocommunicate with other data processing systems and/or devices.Communications unit 1008 may provide communications using physicaland/or wireless communications links.

Input/output unit 1010 allows input to be received from and output to besent to other devices connected to data processing system 1000. Forexample, input/output unit 1010 may allow user input to be receivedthrough a keyboard, a mouse, and/or some other type of input device. Asanother example, input/output unit 1010 may allow output to be sent to aprinter connected to data processing system 1000.

Display 1012 is configured to display information to a user. Display1012 may comprise, for example, without limitation, a monitor, a touchscreen, a laser display, a holographic display, a virtual displaydevice, and/or some other type of display device.

In this illustrative example, the processes of the differentillustrative embodiments may be performed by processor unit 1004 usingcomputer-implemented instructions. These instructions may be referred toas program code, computer usable program code, or computer readableprogram code and may be read and executed by one or more processors inprocessor unit 1004.

In these examples, program code 1018 is located in a functional form oncomputer readable media 1020, which is selectively removable, and may beloaded onto or transferred to data processing system 1000 for executionby processor unit 1004. Program code 1018 and computer readable media1020 together form computer program product 1022. In this illustrativeexample, computer readable media 1020 may be computer readable storagemedia 1024 or computer readable signal media 1026.

Computer readable storage media 1024 is a physical or tangible storagedevice used to store program code 1018 rather than a medium thatpropagates or transmits program code 1018. Computer readable storagemedia 1024 may be, for example, without limitation, an optical ormagnetic disk or a persistent storage device that is connected to dataprocessing system 1000.

Alternatively, program code 1018 may be transferred to data processingsystem 1000 using computer readable signal media 1026. Computer readablesignal media 1026 may be, for example, a propagated data signalcontaining program code 1018. This data signal may be an electromagneticsignal, an optical signal, and/or some other type of signal that can betransmitted over physical and/or wireless communications links.

The illustration of data processing system 1000 in FIG. 10 is not meantto provide architectural limitations to the manner in which theillustrative embodiments may be implemented. The different illustrativeembodiments may be implemented in a data processing system that includescomponents in addition to or in place of those illustrated for dataprocessing system 1000. Further, components shown in FIG. 10 may bevaried from the illustrative examples shown.

The description of the different illustrative embodiments has beenpresented for purposes of illustration and description, and is notintended to be exhaustive or limited to the embodiments in the formdisclosed. Many modifications and variations will be apparent to thoseof ordinary skill in the art. Further, different illustrativeembodiments may provide different features as compared to otherdesirable embodiments. The embodiment or embodiments selected are chosenand described in order to best explain the principles of theembodiments, the practical application, and to enable others of ordinaryskill in the art to understand the disclosure for various embodimentswith various modifications as are suited to the particular usecontemplated.

1.-20. (canceled)
 21. A system, comprising a data processing systemcomprising one or more processors, coupled with memory, to: receive,over a network, an event stream constructed based on data captured fromone or more devices remote from the data processing system; generate,based on the event stream, a trigger established for an eventcorresponding to an event chain configured with one or more upstreamevents and one or more downstream events; identify, responsive to thetrigger for the event, a chain of effects using a data lake based oncurrent state information; determine at least one action based on atleast one of a timeline corresponding to the event of the event chain,the trigger, or the chain of effects identified responsive to thetrigger; provide, for display via a graphical user interface, agraphical control configured with the action, the timeline correspondingto the event of the event chain, the trigger, and the chain of effectsidentified responsive to the trigger; and execute, responsive to aselection of the graphical control, the action to transmit a data packetto address the trigger.
 22. The system of claim 21, wherein the dataprocessing system is further configured to: receive an asynchronousstream of unprocessed data signals for a plurality of events related toan entity; and generate, from the asynchronous stream of unprocesseddata signals, the timeline corresponding to the plurality of events anda set of event chains, the set of event chains comprising the eventchain.
 23. The system of claim 21, wherein the data processing system isfurther configured to: execute the action comprising transmission of apacket comprising a message associated with the trigger.
 24. The systemof claim 21, wherein the data processing system is further configuredto: generate a plurality of insights based on the trigger, the eventchain, and a pattern of past events; and present, via the graphical userinterface, the plurality of insights.
 25. The system of claim 21,wherein the data lake comprising at least one of pattern recognition,reinforcement learning, or machine learning.
 26. The system of claim 21,wherein the data processing system is further configured to: use thedata lake comprising a multi-dimensional semantic network derived fromevent data, the timeline, and metadata to identify the chain of effects.27. The system of claim 21, wherein the data processing system isfurther configured to: use the data lake to identify the chain ofeffects comprising a linear-type chain of effects.
 28. The system ofclaim 21, wherein the data processing system is further configured to:use the data lake to identify the chain of effects comprising atree-type chain of effects.
 29. The system of claim 21, wherein theevent comprises a dynamic element and a static element.
 30. The systemof claim 21, wherein the data processing system is further configuredto: perform at least one of data mining, pattern recognition, eventrelationship identification, or inferential processing using a set ofpolicies to identify a set of event chains comprising the event chain,wherein each event chain in the set of event chains comprises aplurality of linked events.
 31. A method, comprising receiving, by adata processing system comprising one or more processors coupled withmemory, over a network, an event stream constructed based on datacaptured from one or more devices remote from the data processingsystem; generating, by the data processing system based on the eventstream, a trigger established for an event corresponding to an eventchain configured with one or more upstream events and one or moredownstream events; identifying, by the data processing system responsiveto the trigger for the event, a chain of effects using a data lake basedon current state information; determining, by the data processingsystem, at least one action based on at least one of a timelinecorresponding to the event of the event chain, the trigger, or the chainof effects identified responsive to the trigger; providing, by the dataprocessing system for display via a graphical user interface, agraphical control configured with the action, the timeline correspondingto the event of the event chain, the trigger, and the chain of effectsidentified responsive to the trigger; and executing, by the dataprocessing system responsive to a selection of the graphical control,the action to transmit a data packet to address the trigger.
 32. Themethod of claim 31, comprising: receiving, by the data processingsystem, an asynchronous stream of unprocessed data signals for aplurality of events related to an entity; and generating, by the dataprocessing system, from the asynchronous stream of unprocessed datasignals, the timeline corresponding to the plurality of events and a setof event chains, the set of event chains comprising the event chain. 33.The method of claim 31, comprising: executing, by the data processingsystem, the action comprising transmission of a packet comprising amessage associated with the trigger.
 34. The method of claim 31,comprising: generating, by the data processing system, a plurality ofinsights based on the trigger, the event chain, and a pattern of pastevents; and presenting, by the data processing system via the graphicaluser interface, the plurality of insights.
 35. The method of claim 31,wherein the data lake comprising at least one of pattern recognition,reinforcement learning, or machine learning.
 36. The method of claim 31,comprising: using, by the data processing system, the data lakecomprising a multi-dimensional semantic network derived from event data,the timeline, and metadata to identify the chain of effects.
 37. Themethod of claim 31, comprising: using, by the data processing system,the data lake to identify the chain of effects comprising a linear-typechain of effects.
 38. The method of claim 31, comprising: using, by thedata processing system, the data lake to identify the chain of effectscomprising a tree-type chain of effects.
 39. A non-transitorycomputer-readable storage medium storing processor executableinstructions that, when executed by one or more processors, cause theone or more processors to: receive, over a network, an event streamconstructed based on data captured from one or more devices remote fromthe data processing system; generate, based on the event stream, atrigger established for an event corresponding to an event chainconfigured with one or more upstream events and one or more downstreamevents; identify, responsive to the trigger for the event, a chain ofeffects using a data lake based on current state information; determineat least one action based on at least one of a timeline corresponding tothe event of the event chain, the trigger, or the chain of effectsidentified responsive to the trigger; provide, for display via agraphical user interface, a graphical control configured with theaction, the timeline corresponding to the event of the event chain, thetrigger, and the chain of effects identified responsive to the trigger;and execute, responsive to a selection of the graphical control, theaction to transmit a data packet to address the trigger.
 40. Thenon-transitory computer-readable storage medium of claim 39, wherein theinstructions further comprising instructions to: receive an asynchronousstream of unprocessed data signals for a plurality of events related toan entity; and generate, from the asynchronous stream of unprocesseddata signals, the timeline corresponding to the plurality of events anda set of event chains, the set of event chains comprising the eventchain.